JohN:I'm surprised that you guys don't already have a mathematical structure
targeted to handle this? This is part of the core of AGI, handling the
different learning from various domains, tying that together in a model. I'm
sure you have a few candidate structures in mind... ?
Also, how could you build a general thinking machine without this
meta-learning? That, I suppose you are saying would be contained in the
particular mathematical structure used.
Be interesting to discuss this. I hadn't come up across this category
before:
http://en.wikipedia.org/wiki/Meta_learning
It seems to express the profound confusion of AI about the real world
activities of real world agents - as opposed to artificial world narrow
AI's.
The reality of human activities is that they are a continuous business of
learning, which never stops.
And part of that learning - wh. "metalearning" may arguably overlap with -
is
1. learning "the rules of the game" - *as you go along*. "Learning on the
job".
This is in complete contrast to narrow AI's which *have all the rules before
they begin*. It doesn't matter that they may still have to learn certain
aspects of a given task - they have rules for that, so they still have all
the rules before they begin.
For example, you only learn how to play football, like all other activities,
from sex to going shopping, as you go along - you start playing before you
know more than a handful of rules, and gradually pick up (and never stop
picking up) rules, principles, strategies, new actions/skills in a lifetime
of playing.
2. THERE ARE NO RULES IN REAL WORLD ACTIVITIES
Here is yet another classic case of how key concepts are used fundamentally
differently in AI and rational science from real world affairs.
In AI, rules really are rules - they tell an agent precisely how to proceed
step-by-step.
In real world activities, "rules" are actually only vague *principles* - and
give no indication as to step-by-step proceedings. The rules of the game in
football or tennis do not tell you exactly how to kick or hit a ball, or
exactly when or where - as narrow AI programs do.
*No rules in the AI sense are possible for real world activities*
*No rules in the AI sense exist anywhere in our massively extensive culture
for real world world activities.*
*The only rule - it is often repeated - is that there are no rules.*
This is also true BTW of the real world activity of programming.
3. Metalearning then as per John is almost certainly impossible.
There are no general rules for conducting diverse activities - certainly
not in the programming sense.
There are no general rules for programming.
I'll leave it there for now.
All comments exploring metalearning welcome.
-------------------------------------------
AGI
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